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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BBGEws_BNH2P"
      },
      "source": [
        "# 1.1「学習済みVGGモデル」を使用する方法\n",
        "\n",
        "- 本ファイルでは、学習済みのVGGモデルを使用し、未知の画像（ゴールデンレトリバー）を分類します\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MBfSv2DyNH2W"
      },
      "source": [
        "# 学習目標\n",
        "\n",
        "1.\tPyTorchでImangeNetデータセットでの学習済みモデルをロードできるようになる\n",
        "2.\tVGGモデルについて理解する\n",
        "3.\t入力画像のサイズや色を変換できるようになる\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I6H1SGoeNH2X"
      },
      "source": [
        "# 事前準備\n",
        "\n",
        "\n",
        "1. 書籍の指示に従い、make_folders_and_data_downloads.ipynbを実行して、本章で使用するデータをダウンロード\n",
        "\n",
        "\n",
        "2. PyTorchのインストールページ（ https://pytorch.org/get-started/locally/ ）を参考に、PyTorch1.0をインストール\n",
        "\n",
        "\n",
        "conda install pytorch-cpu torchvision-cpu -c pytorch\n",
        "\n",
        "（Windowsで、GPUなしの環境をcondaでインストールする場合）\n",
        "\n",
        "\n",
        "3. Matplotlibをインストール\n",
        "\n",
        "conda install -c conda-forge matplotlib \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pFizVjJC2ru5"
      },
      "source": [
        "## データ準備"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ioNjJoeW2qMA",
        "outputId": "0f0f6d54-92c8-411b-fdb2-5ea3a79c09e6"
      },
      "source": [
        "!git clone https://github.com/YutaroOgawa/pytorch_advanced.git"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'pytorch_advanced'...\n",
            "remote: Enumerating objects: 517, done.\u001b[K\n",
            "remote: Counting objects: 100% (38/38), done.\u001b[K\n",
            "remote: Compressing objects: 100% (29/29), done.\u001b[K\n",
            "remote: Total 517 (delta 16), reused 24 (delta 9), pack-reused 479\u001b[K\n",
            "Receiving objects: 100% (517/517), 17.28 MiB | 25.98 MiB/s, done.\n",
            "Resolving deltas: 100% (275/275), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tBC5_RkU2rDD",
        "outputId": "75b6f8bc-cce2-4002-bb11-c356255d2908"
      },
      "source": [
        "!ls"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "pytorch_advanced  sample_data\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NdQ0Tl3-2_Dq",
        "outputId": "3ccd0dbb-8a29-448b-c4b8-afdf7d00bd36"
      },
      "source": [
        "%cd \"pytorch_advanced\""
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/pytorch_advanced\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c1eUhXws2_U6",
        "outputId": "df5e7d66-4a06-4120-c0d9-71a9a67aa820"
      },
      "source": [
        "!ls"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1_image_classification\t 7_nlp_sentiment_transformer\n",
            "2_objectdetection\t 8_nlp_sentiment_bert\n",
            "3_semantic_segmentation  9_video_classification_eco\n",
            "4_pose_estimation\t etc\n",
            "5_gan_generation\t LICENSE\n",
            "6_gan_anomaly_detection  README.md\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y0uT1OSr20a6",
        "outputId": "61fab8a6-1be1-4cae-9474-536837652c92"
      },
      "source": [
        "%cd \"1_image_classification\""
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/pytorch_advanced/1_image_classification\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MpfRDZve26fv",
        "outputId": "f2f79ddd-32eb-4a50-b019-85055aeaae9a"
      },
      "source": [
        "!ls"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1-1_load_vgg.ipynb\n",
            "1-3_transfer_learning.ipynb\n",
            "1_3_transfer_learning_on_GoogleColab.ipynb\n",
            "1-5_fine_tuning.ipynb\n",
            "data\n",
            "make_folders_and_data_downloads.ipynb\n",
            "utils\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KefQTosN3G9_"
      },
      "source": [
        "# make_folders_and_data_downloads.ipynbの中身を実行\n",
        "import os\n",
        "import urllib.request\n",
        "import zipfile\n",
        "\n",
        "\n",
        "data_dir = \"./data/\"\n",
        "if not os.path.exists(data_dir):\n",
        "    os.mkdir(data_dir)\n",
        "\n",
        "url = \"https://s3.amazonaws.com/deep-learning-models/image-models/imagenet_class_index.json\"\n",
        "save_path = os.path.join(data_dir, \"imagenet_class_index.json\")\n",
        "\n",
        "if not os.path.exists(save_path):\n",
        "    urllib.request.urlretrieve(url, save_path)\n",
        "\n",
        "url = \"https://download.pytorch.org/tutorial/hymenoptera_data.zip\"\n",
        "save_path = os.path.join(data_dir, \"hymenoptera_data.zip\")\n",
        "\n",
        "if not os.path.exists(save_path):\n",
        "    urllib.request.urlretrieve(url, save_path)\n",
        "\n",
        "    # ZIPファイルを読み込み\n",
        "    zip = zipfile.ZipFile(save_path)\n",
        "    zip.extractall(data_dir)  # ZIPを解凍\n",
        "    zip.close()  # ZIPファイルをクローズ\n",
        "\n",
        "    # ZIPファイルを消去\n",
        "    os.remove(save_path)"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b9E8R-lQ3HPR"
      },
      "source": [
        "# Colaboratory用の準備完了"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JpQa-OCQNH2X"
      },
      "source": [
        "# パッケージのimportとPyTorchのバージョンを確認"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jTYHPeyGNH2Y"
      },
      "source": [
        "# パッケージのimport\n",
        "import numpy as np\n",
        "import json\n",
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "\n",
        "import torch\n",
        "import torchvision\n",
        "from torchvision import models, transforms\n"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OWFzRfYwNH2Z",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fc9a34cf-aa9f-414e-b6e0-5b7795cdb473"
      },
      "source": [
        "# PyTorchのバージョン確認\n",
        "print(\"PyTorch Version: \",torch.__version__)\n",
        "print(\"Torchvision Version: \",torchvision.__version__)\n"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "PyTorch Version:  1.8.1+cu101\n",
            "Torchvision Version:  0.9.1+cu101\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VQj18-KqNH2Z"
      },
      "source": [
        "# VGG-16の学習済みモデルをロード"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ugoB5bhBNH2a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 876,
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        },
        "outputId": "ec30f039-18c1-438d-cf9c-f097899171cd"
      },
      "source": [
        "# 学習済みのVGG-16モデルをロード\n",
        "# 初めて実行する際は、学習済みパラメータをダウンロードするため、実行に時間がかかります\n",
        "\n",
        "# VGG-16モデルのインスタンスを生成\n",
        "use_pretrained = True  # 学習済みのパラメータを使用\n",
        "net = models.vgg16(pretrained=use_pretrained)\n",
        "net.eval()  # 推論モードに設定\n",
        "\n",
        "# モデルのネットワーク構成を出力\n",
        "print(net)\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading: \"https://download.pytorch.org/models/vgg16-397923af.pth\" to /root/.cache/torch/hub/checkpoints/vgg16-397923af.pth\n"
          ],
          "name": "stderr"
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            "\n",
            "VGG(\n",
            "  (features): Sequential(\n",
            "    (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (1): ReLU(inplace=True)\n",
            "    (2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (3): ReLU(inplace=True)\n",
            "    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "    (5): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (6): ReLU(inplace=True)\n",
            "    (7): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (8): ReLU(inplace=True)\n",
            "    (9): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "    (10): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (11): ReLU(inplace=True)\n",
            "    (12): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (13): ReLU(inplace=True)\n",
            "    (14): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (15): ReLU(inplace=True)\n",
            "    (16): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "    (17): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (18): ReLU(inplace=True)\n",
            "    (19): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (20): ReLU(inplace=True)\n",
            "    (21): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (22): ReLU(inplace=True)\n",
            "    (23): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "    (24): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (25): ReLU(inplace=True)\n",
            "    (26): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (27): ReLU(inplace=True)\n",
            "    (28): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (29): ReLU(inplace=True)\n",
            "    (30): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "  )\n",
            "  (avgpool): AdaptiveAvgPool2d(output_size=(7, 7))\n",
            "  (classifier): Sequential(\n",
            "    (0): Linear(in_features=25088, out_features=4096, bias=True)\n",
            "    (1): ReLU(inplace=True)\n",
            "    (2): Dropout(p=0.5, inplace=False)\n",
            "    (3): Linear(in_features=4096, out_features=4096, bias=True)\n",
            "    (4): ReLU(inplace=True)\n",
            "    (5): Dropout(p=0.5, inplace=False)\n",
            "    (6): Linear(in_features=4096, out_features=1000, bias=True)\n",
            "  )\n",
            ")\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nbnucsIQNH2a"
      },
      "source": [
        "# 入力画像の前処理クラスを作成"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wegLsyJKNH2a"
      },
      "source": [
        "# 入力画像の前処理のクラス\n",
        "class BaseTransform():\n",
        "    \"\"\"\n",
        "    画像のサイズをリサイズし、色を標準化する。\n",
        "\n",
        "    Attributes\n",
        "    ----------\n",
        "    resize : int\n",
        "        リサイズ先の画像の大きさ。\n",
        "    mean : (R, G, B)\n",
        "        各色チャネルの平均値。\n",
        "    std : (R, G, B)\n",
        "        各色チャネルの標準偏差。\n",
        "    \"\"\"\n",
        "\n",
        "    def __init__(self, resize, mean, std):\n",
        "        self.base_transform = transforms.Compose([\n",
        "            transforms.Resize(resize),  # 短い辺の長さがresizeの大きさになる\n",
        "            transforms.CenterCrop(resize),  # 画像中央をresize × resizeで切り取り\n",
        "            transforms.ToTensor(),  # Torchテンソルに変換\n",
        "            transforms.Normalize(mean, std)  # 色情報の標準化\n",
        "        ])\n",
        "\n",
        "    def __call__(self, img):\n",
        "        return self.base_transform(img)\n"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JyPkp-v9NH2b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "outputId": "4c6f4812-ff5e-4a0f-e91d-f14980651ad5"
      },
      "source": [
        "# 画像前処理の動作を確認\n",
        "\n",
        "# 1. 画像読み込み\n",
        "image_file_path = './data/goldenretriever-3724972_640.jpg'\n",
        "img = Image.open(image_file_path)  # [高さ][幅][色RGB]\n",
        "\n",
        "# 2. 元の画像の表示\n",
        "plt.imshow(img)\n",
        "plt.show()\n",
        "\n",
        "# 3. 画像の前処理と処理済み画像の表示\n",
        "resize = 224\n",
        "mean = (0.485, 0.456, 0.406)\n",
        "std = (0.229, 0.224, 0.225)\n",
        "transform = BaseTransform(resize, mean, std)\n",
        "img_transformed = transform(img)  # torch.Size([3, 224, 224])\n",
        "\n",
        "# (色、高さ、幅)を (高さ、幅、色)に変換し、0-1に値を制限して表示\n",
        "img_transformed = img_transformed.numpy().transpose((1, 2, 0))\n",
        "img_transformed = np.clip(img_transformed, 0, 1)\n",
        "plt.imshow(img_transformed)\n",
        "plt.show()\n"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8z2ZWxWnNH2b"
      },
      "source": [
        "# 出力結果からラベルを予測する後処理クラスを作成"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6uWvtv09NH2c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "001996b7-a6cc-4fd2-90e8-d2524e4d2811"
      },
      "source": [
        "# ILSVRCのラベル情報をロードし辞書型変数を生成します\n",
        "ILSVRC_class_index = json.load(open('./data/imagenet_class_index.json', 'r'))\n",
        "ILSVRC_class_index\n"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'0': ['n01440764', 'tench'],\n",
              " '1': ['n01443537', 'goldfish'],\n",
              " '2': ['n01484850', 'great_white_shark'],\n",
              " '3': ['n01491361', 'tiger_shark'],\n",
              " '4': ['n01494475', 'hammerhead'],\n",
              " '5': ['n01496331', 'electric_ray'],\n",
              " '6': ['n01498041', 'stingray'],\n",
              " '7': ['n01514668', 'cock'],\n",
              " '8': ['n01514859', 'hen'],\n",
              " '9': ['n01518878', 'ostrich'],\n",
              " '10': ['n01530575', 'brambling'],\n",
              " '11': ['n01531178', 'goldfinch'],\n",
              " '12': ['n01532829', 'house_finch'],\n",
              " '13': ['n01534433', 'junco'],\n",
              " '14': ['n01537544', 'indigo_bunting'],\n",
              " '15': ['n01558993', 'robin'],\n",
              " '16': ['n01560419', 'bulbul'],\n",
              " '17': ['n01580077', 'jay'],\n",
              " '18': ['n01582220', 'magpie'],\n",
              " '19': ['n01592084', 'chickadee'],\n",
              " '20': ['n01601694', 'water_ouzel'],\n",
              " '21': ['n01608432', 'kite'],\n",
              " '22': ['n01614925', 'bald_eagle'],\n",
              " '23': ['n01616318', 'vulture'],\n",
              " '24': ['n01622779', 'great_grey_owl'],\n",
              " '25': ['n01629819', 'European_fire_salamander'],\n",
              " '26': ['n01630670', 'common_newt'],\n",
              " '27': ['n01631663', 'eft'],\n",
              " '28': ['n01632458', 'spotted_salamander'],\n",
              " '29': ['n01632777', 'axolotl'],\n",
              " '30': ['n01641577', 'bullfrog'],\n",
              " '31': ['n01644373', 'tree_frog'],\n",
              " '32': ['n01644900', 'tailed_frog'],\n",
              " '33': ['n01664065', 'loggerhead'],\n",
              " '34': ['n01665541', 'leatherback_turtle'],\n",
              " '35': ['n01667114', 'mud_turtle'],\n",
              " '36': ['n01667778', 'terrapin'],\n",
              " '37': ['n01669191', 'box_turtle'],\n",
              " '38': ['n01675722', 'banded_gecko'],\n",
              " '39': ['n01677366', 'common_iguana'],\n",
              " '40': ['n01682714', 'American_chameleon'],\n",
              " '41': ['n01685808', 'whiptail'],\n",
              " '42': ['n01687978', 'agama'],\n",
              " '43': ['n01688243', 'frilled_lizard'],\n",
              " '44': ['n01689811', 'alligator_lizard'],\n",
              " '45': ['n01692333', 'Gila_monster'],\n",
              " '46': ['n01693334', 'green_lizard'],\n",
              " '47': ['n01694178', 'African_chameleon'],\n",
              " '48': ['n01695060', 'Komodo_dragon'],\n",
              " '49': ['n01697457', 'African_crocodile'],\n",
              " '50': ['n01698640', 'American_alligator'],\n",
              " '51': ['n01704323', 'triceratops'],\n",
              " '52': ['n01728572', 'thunder_snake'],\n",
              " '53': ['n01728920', 'ringneck_snake'],\n",
              " '54': ['n01729322', 'hognose_snake'],\n",
              " '55': ['n01729977', 'green_snake'],\n",
              " '56': ['n01734418', 'king_snake'],\n",
              " '57': ['n01735189', 'garter_snake'],\n",
              " '58': ['n01737021', 'water_snake'],\n",
              " '59': ['n01739381', 'vine_snake'],\n",
              " '60': ['n01740131', 'night_snake'],\n",
              " '61': ['n01742172', 'boa_constrictor'],\n",
              " '62': ['n01744401', 'rock_python'],\n",
              " '63': ['n01748264', 'Indian_cobra'],\n",
              " '64': ['n01749939', 'green_mamba'],\n",
              " '65': ['n01751748', 'sea_snake'],\n",
              " '66': ['n01753488', 'horned_viper'],\n",
              " '67': ['n01755581', 'diamondback'],\n",
              " '68': ['n01756291', 'sidewinder'],\n",
              " '69': ['n01768244', 'trilobite'],\n",
              " '70': ['n01770081', 'harvestman'],\n",
              " '71': ['n01770393', 'scorpion'],\n",
              " '72': ['n01773157', 'black_and_gold_garden_spider'],\n",
              " '73': ['n01773549', 'barn_spider'],\n",
              " '74': ['n01773797', 'garden_spider'],\n",
              " '75': ['n01774384', 'black_widow'],\n",
              " '76': ['n01774750', 'tarantula'],\n",
              " '77': ['n01775062', 'wolf_spider'],\n",
              " '78': ['n01776313', 'tick'],\n",
              " '79': ['n01784675', 'centipede'],\n",
              " '80': ['n01795545', 'black_grouse'],\n",
              " '81': ['n01796340', 'ptarmigan'],\n",
              " '82': ['n01797886', 'ruffed_grouse'],\n",
              " '83': ['n01798484', 'prairie_chicken'],\n",
              " '84': ['n01806143', 'peacock'],\n",
              " '85': ['n01806567', 'quail'],\n",
              " '86': ['n01807496', 'partridge'],\n",
              " '87': ['n01817953', 'African_grey'],\n",
              " '88': ['n01818515', 'macaw'],\n",
              " '89': ['n01819313', 'sulphur-crested_cockatoo'],\n",
              " '90': ['n01820546', 'lorikeet'],\n",
              " '91': ['n01824575', 'coucal'],\n",
              " '92': ['n01828970', 'bee_eater'],\n",
              " '93': ['n01829413', 'hornbill'],\n",
              " '94': ['n01833805', 'hummingbird'],\n",
              " '95': ['n01843065', 'jacamar'],\n",
              " '96': ['n01843383', 'toucan'],\n",
              " '97': ['n01847000', 'drake'],\n",
              " '98': ['n01855032', 'red-breasted_merganser'],\n",
              " '99': ['n01855672', 'goose'],\n",
              " '100': ['n01860187', 'black_swan'],\n",
              " '101': ['n01871265', 'tusker'],\n",
              " '102': ['n01872401', 'echidna'],\n",
              " '103': ['n01873310', 'platypus'],\n",
              " '104': ['n01877812', 'wallaby'],\n",
              " '105': ['n01882714', 'koala'],\n",
              " '106': ['n01883070', 'wombat'],\n",
              " '107': ['n01910747', 'jellyfish'],\n",
              " '108': ['n01914609', 'sea_anemone'],\n",
              " '109': ['n01917289', 'brain_coral'],\n",
              " '110': ['n01924916', 'flatworm'],\n",
              " '111': ['n01930112', 'nematode'],\n",
              " '112': ['n01943899', 'conch'],\n",
              " '113': ['n01944390', 'snail'],\n",
              " '114': ['n01945685', 'slug'],\n",
              " '115': ['n01950731', 'sea_slug'],\n",
              " '116': ['n01955084', 'chiton'],\n",
              " '117': ['n01968897', 'chambered_nautilus'],\n",
              " '118': ['n01978287', 'Dungeness_crab'],\n",
              " '119': ['n01978455', 'rock_crab'],\n",
              " '120': ['n01980166', 'fiddler_crab'],\n",
              " '121': ['n01981276', 'king_crab'],\n",
              " '122': ['n01983481', 'American_lobster'],\n",
              " '123': ['n01984695', 'spiny_lobster'],\n",
              " '124': ['n01985128', 'crayfish'],\n",
              " '125': ['n01986214', 'hermit_crab'],\n",
              " '126': ['n01990800', 'isopod'],\n",
              " '127': ['n02002556', 'white_stork'],\n",
              " '128': ['n02002724', 'black_stork'],\n",
              " '129': ['n02006656', 'spoonbill'],\n",
              " '130': ['n02007558', 'flamingo'],\n",
              " '131': ['n02009229', 'little_blue_heron'],\n",
              " '132': ['n02009912', 'American_egret'],\n",
              " '133': ['n02011460', 'bittern'],\n",
              " '134': ['n02012849', 'crane'],\n",
              " '135': ['n02013706', 'limpkin'],\n",
              " '136': ['n02017213', 'European_gallinule'],\n",
              " '137': ['n02018207', 'American_coot'],\n",
              " '138': ['n02018795', 'bustard'],\n",
              " '139': ['n02025239', 'ruddy_turnstone'],\n",
              " '140': ['n02027492', 'red-backed_sandpiper'],\n",
              " '141': ['n02028035', 'redshank'],\n",
              " '142': ['n02033041', 'dowitcher'],\n",
              " '143': ['n02037110', 'oystercatcher'],\n",
              " '144': ['n02051845', 'pelican'],\n",
              " '145': ['n02056570', 'king_penguin'],\n",
              " '146': ['n02058221', 'albatross'],\n",
              " '147': ['n02066245', 'grey_whale'],\n",
              " '148': ['n02071294', 'killer_whale'],\n",
              " '149': ['n02074367', 'dugong'],\n",
              " '150': ['n02077923', 'sea_lion'],\n",
              " '151': ['n02085620', 'Chihuahua'],\n",
              " '152': ['n02085782', 'Japanese_spaniel'],\n",
              " '153': ['n02085936', 'Maltese_dog'],\n",
              " '154': ['n02086079', 'Pekinese'],\n",
              " '155': ['n02086240', 'Shih-Tzu'],\n",
              " '156': ['n02086646', 'Blenheim_spaniel'],\n",
              " '157': ['n02086910', 'papillon'],\n",
              " '158': ['n02087046', 'toy_terrier'],\n",
              " '159': ['n02087394', 'Rhodesian_ridgeback'],\n",
              " '160': ['n02088094', 'Afghan_hound'],\n",
              " '161': ['n02088238', 'basset'],\n",
              " '162': ['n02088364', 'beagle'],\n",
              " '163': ['n02088466', 'bloodhound'],\n",
              " '164': ['n02088632', 'bluetick'],\n",
              " '165': ['n02089078', 'black-and-tan_coonhound'],\n",
              " '166': ['n02089867', 'Walker_hound'],\n",
              " '167': ['n02089973', 'English_foxhound'],\n",
              " '168': ['n02090379', 'redbone'],\n",
              " '169': ['n02090622', 'borzoi'],\n",
              " '170': ['n02090721', 'Irish_wolfhound'],\n",
              " '171': ['n02091032', 'Italian_greyhound'],\n",
              " '172': ['n02091134', 'whippet'],\n",
              " '173': ['n02091244', 'Ibizan_hound'],\n",
              " '174': ['n02091467', 'Norwegian_elkhound'],\n",
              " '175': ['n02091635', 'otterhound'],\n",
              " '176': ['n02091831', 'Saluki'],\n",
              " '177': ['n02092002', 'Scottish_deerhound'],\n",
              " '178': ['n02092339', 'Weimaraner'],\n",
              " '179': ['n02093256', 'Staffordshire_bullterrier'],\n",
              " '180': ['n02093428', 'American_Staffordshire_terrier'],\n",
              " '181': ['n02093647', 'Bedlington_terrier'],\n",
              " '182': ['n02093754', 'Border_terrier'],\n",
              " '183': ['n02093859', 'Kerry_blue_terrier'],\n",
              " '184': ['n02093991', 'Irish_terrier'],\n",
              " '185': ['n02094114', 'Norfolk_terrier'],\n",
              " '186': ['n02094258', 'Norwich_terrier'],\n",
              " '187': ['n02094433', 'Yorkshire_terrier'],\n",
              " '188': ['n02095314', 'wire-haired_fox_terrier'],\n",
              " '189': ['n02095570', 'Lakeland_terrier'],\n",
              " '190': ['n02095889', 'Sealyham_terrier'],\n",
              " '191': ['n02096051', 'Airedale'],\n",
              " '192': ['n02096177', 'cairn'],\n",
              " '193': ['n02096294', 'Australian_terrier'],\n",
              " '194': ['n02096437', 'Dandie_Dinmont'],\n",
              " '195': ['n02096585', 'Boston_bull'],\n",
              " '196': ['n02097047', 'miniature_schnauzer'],\n",
              " '197': ['n02097130', 'giant_schnauzer'],\n",
              " '198': ['n02097209', 'standard_schnauzer'],\n",
              " '199': ['n02097298', 'Scotch_terrier'],\n",
              " '200': ['n02097474', 'Tibetan_terrier'],\n",
              " '201': ['n02097658', 'silky_terrier'],\n",
              " '202': ['n02098105', 'soft-coated_wheaten_terrier'],\n",
              " '203': ['n02098286', 'West_Highland_white_terrier'],\n",
              " '204': ['n02098413', 'Lhasa'],\n",
              " '205': ['n02099267', 'flat-coated_retriever'],\n",
              " '206': ['n02099429', 'curly-coated_retriever'],\n",
              " '207': ['n02099601', 'golden_retriever'],\n",
              " '208': ['n02099712', 'Labrador_retriever'],\n",
              " '209': ['n02099849', 'Chesapeake_Bay_retriever'],\n",
              " '210': ['n02100236', 'German_short-haired_pointer'],\n",
              " '211': ['n02100583', 'vizsla'],\n",
              " '212': ['n02100735', 'English_setter'],\n",
              " '213': ['n02100877', 'Irish_setter'],\n",
              " '214': ['n02101006', 'Gordon_setter'],\n",
              " '215': ['n02101388', 'Brittany_spaniel'],\n",
              " '216': ['n02101556', 'clumber'],\n",
              " '217': ['n02102040', 'English_springer'],\n",
              " '218': ['n02102177', 'Welsh_springer_spaniel'],\n",
              " '219': ['n02102318', 'cocker_spaniel'],\n",
              " '220': ['n02102480', 'Sussex_spaniel'],\n",
              " '221': ['n02102973', 'Irish_water_spaniel'],\n",
              " '222': ['n02104029', 'kuvasz'],\n",
              " '223': ['n02104365', 'schipperke'],\n",
              " '224': ['n02105056', 'groenendael'],\n",
              " '225': ['n02105162', 'malinois'],\n",
              " '226': ['n02105251', 'briard'],\n",
              " '227': ['n02105412', 'kelpie'],\n",
              " '228': ['n02105505', 'komondor'],\n",
              " '229': ['n02105641', 'Old_English_sheepdog'],\n",
              " '230': ['n02105855', 'Shetland_sheepdog'],\n",
              " '231': ['n02106030', 'collie'],\n",
              " '232': ['n02106166', 'Border_collie'],\n",
              " '233': ['n02106382', 'Bouvier_des_Flandres'],\n",
              " '234': ['n02106550', 'Rottweiler'],\n",
              " '235': ['n02106662', 'German_shepherd'],\n",
              " '236': ['n02107142', 'Doberman'],\n",
              " '237': ['n02107312', 'miniature_pinscher'],\n",
              " '238': ['n02107574', 'Greater_Swiss_Mountain_dog'],\n",
              " '239': ['n02107683', 'Bernese_mountain_dog'],\n",
              " '240': ['n02107908', 'Appenzeller'],\n",
              " '241': ['n02108000', 'EntleBucher'],\n",
              " '242': ['n02108089', 'boxer'],\n",
              " '243': ['n02108422', 'bull_mastiff'],\n",
              " '244': ['n02108551', 'Tibetan_mastiff'],\n",
              " '245': ['n02108915', 'French_bulldog'],\n",
              " '246': ['n02109047', 'Great_Dane'],\n",
              " '247': ['n02109525', 'Saint_Bernard'],\n",
              " '248': ['n02109961', 'Eskimo_dog'],\n",
              " '249': ['n02110063', 'malamute'],\n",
              " '250': ['n02110185', 'Siberian_husky'],\n",
              " '251': ['n02110341', 'dalmatian'],\n",
              " '252': ['n02110627', 'affenpinscher'],\n",
              " '253': ['n02110806', 'basenji'],\n",
              " '254': ['n02110958', 'pug'],\n",
              " '255': ['n02111129', 'Leonberg'],\n",
              " '256': ['n02111277', 'Newfoundland'],\n",
              " '257': ['n02111500', 'Great_Pyrenees'],\n",
              " '258': ['n02111889', 'Samoyed'],\n",
              " '259': ['n02112018', 'Pomeranian'],\n",
              " '260': ['n02112137', 'chow'],\n",
              " '261': ['n02112350', 'keeshond'],\n",
              " '262': ['n02112706', 'Brabancon_griffon'],\n",
              " '263': ['n02113023', 'Pembroke'],\n",
              " '264': ['n02113186', 'Cardigan'],\n",
              " '265': ['n02113624', 'toy_poodle'],\n",
              " '266': ['n02113712', 'miniature_poodle'],\n",
              " '267': ['n02113799', 'standard_poodle'],\n",
              " '268': ['n02113978', 'Mexican_hairless'],\n",
              " '269': ['n02114367', 'timber_wolf'],\n",
              " '270': ['n02114548', 'white_wolf'],\n",
              " '271': ['n02114712', 'red_wolf'],\n",
              " '272': ['n02114855', 'coyote'],\n",
              " '273': ['n02115641', 'dingo'],\n",
              " '274': ['n02115913', 'dhole'],\n",
              " '275': ['n02116738', 'African_hunting_dog'],\n",
              " '276': ['n02117135', 'hyena'],\n",
              " '277': ['n02119022', 'red_fox'],\n",
              " '278': ['n02119789', 'kit_fox'],\n",
              " '279': ['n02120079', 'Arctic_fox'],\n",
              " '280': ['n02120505', 'grey_fox'],\n",
              " '281': ['n02123045', 'tabby'],\n",
              " '282': ['n02123159', 'tiger_cat'],\n",
              " '283': ['n02123394', 'Persian_cat'],\n",
              " '284': ['n02123597', 'Siamese_cat'],\n",
              " '285': ['n02124075', 'Egyptian_cat'],\n",
              " '286': ['n02125311', 'cougar'],\n",
              " '287': ['n02127052', 'lynx'],\n",
              " '288': ['n02128385', 'leopard'],\n",
              " '289': ['n02128757', 'snow_leopard'],\n",
              " '290': ['n02128925', 'jaguar'],\n",
              " '291': ['n02129165', 'lion'],\n",
              " '292': ['n02129604', 'tiger'],\n",
              " '293': ['n02130308', 'cheetah'],\n",
              " '294': ['n02132136', 'brown_bear'],\n",
              " '295': ['n02133161', 'American_black_bear'],\n",
              " '296': ['n02134084', 'ice_bear'],\n",
              " '297': ['n02134418', 'sloth_bear'],\n",
              " '298': ['n02137549', 'mongoose'],\n",
              " '299': ['n02138441', 'meerkat'],\n",
              " '300': ['n02165105', 'tiger_beetle'],\n",
              " '301': ['n02165456', 'ladybug'],\n",
              " '302': ['n02167151', 'ground_beetle'],\n",
              " '303': ['n02168699', 'long-horned_beetle'],\n",
              " '304': ['n02169497', 'leaf_beetle'],\n",
              " '305': ['n02172182', 'dung_beetle'],\n",
              " '306': ['n02174001', 'rhinoceros_beetle'],\n",
              " '307': ['n02177972', 'weevil'],\n",
              " '308': ['n02190166', 'fly'],\n",
              " '309': ['n02206856', 'bee'],\n",
              " '310': ['n02219486', 'ant'],\n",
              " '311': ['n02226429', 'grasshopper'],\n",
              " '312': ['n02229544', 'cricket'],\n",
              " '313': ['n02231487', 'walking_stick'],\n",
              " '314': ['n02233338', 'cockroach'],\n",
              " '315': ['n02236044', 'mantis'],\n",
              " '316': ['n02256656', 'cicada'],\n",
              " '317': ['n02259212', 'leafhopper'],\n",
              " '318': ['n02264363', 'lacewing'],\n",
              " '319': ['n02268443', 'dragonfly'],\n",
              " '320': ['n02268853', 'damselfly'],\n",
              " '321': ['n02276258', 'admiral'],\n",
              " '322': ['n02277742', 'ringlet'],\n",
              " '323': ['n02279972', 'monarch'],\n",
              " '324': ['n02280649', 'cabbage_butterfly'],\n",
              " '325': ['n02281406', 'sulphur_butterfly'],\n",
              " '326': ['n02281787', 'lycaenid'],\n",
              " '327': ['n02317335', 'starfish'],\n",
              " '328': ['n02319095', 'sea_urchin'],\n",
              " '329': ['n02321529', 'sea_cucumber'],\n",
              " '330': ['n02325366', 'wood_rabbit'],\n",
              " '331': ['n02326432', 'hare'],\n",
              " '332': ['n02328150', 'Angora'],\n",
              " '333': ['n02342885', 'hamster'],\n",
              " '334': ['n02346627', 'porcupine'],\n",
              " '335': ['n02356798', 'fox_squirrel'],\n",
              " '336': ['n02361337', 'marmot'],\n",
              " '337': ['n02363005', 'beaver'],\n",
              " '338': ['n02364673', 'guinea_pig'],\n",
              " '339': ['n02389026', 'sorrel'],\n",
              " '340': ['n02391049', 'zebra'],\n",
              " '341': ['n02395406', 'hog'],\n",
              " '342': ['n02396427', 'wild_boar'],\n",
              " '343': ['n02397096', 'warthog'],\n",
              " '344': ['n02398521', 'hippopotamus'],\n",
              " '345': ['n02403003', 'ox'],\n",
              " '346': ['n02408429', 'water_buffalo'],\n",
              " '347': ['n02410509', 'bison'],\n",
              " '348': ['n02412080', 'ram'],\n",
              " '349': ['n02415577', 'bighorn'],\n",
              " '350': ['n02417914', 'ibex'],\n",
              " '351': ['n02422106', 'hartebeest'],\n",
              " '352': ['n02422699', 'impala'],\n",
              " '353': ['n02423022', 'gazelle'],\n",
              " '354': ['n02437312', 'Arabian_camel'],\n",
              " '355': ['n02437616', 'llama'],\n",
              " '356': ['n02441942', 'weasel'],\n",
              " '357': ['n02442845', 'mink'],\n",
              " '358': ['n02443114', 'polecat'],\n",
              " '359': ['n02443484', 'black-footed_ferret'],\n",
              " '360': ['n02444819', 'otter'],\n",
              " '361': ['n02445715', 'skunk'],\n",
              " '362': ['n02447366', 'badger'],\n",
              " '363': ['n02454379', 'armadillo'],\n",
              " '364': ['n02457408', 'three-toed_sloth'],\n",
              " '365': ['n02480495', 'orangutan'],\n",
              " '366': ['n02480855', 'gorilla'],\n",
              " '367': ['n02481823', 'chimpanzee'],\n",
              " '368': ['n02483362', 'gibbon'],\n",
              " '369': ['n02483708', 'siamang'],\n",
              " '370': ['n02484975', 'guenon'],\n",
              " '371': ['n02486261', 'patas'],\n",
              " '372': ['n02486410', 'baboon'],\n",
              " '373': ['n02487347', 'macaque'],\n",
              " '374': ['n02488291', 'langur'],\n",
              " '375': ['n02488702', 'colobus'],\n",
              " '376': ['n02489166', 'proboscis_monkey'],\n",
              " '377': ['n02490219', 'marmoset'],\n",
              " '378': ['n02492035', 'capuchin'],\n",
              " '379': ['n02492660', 'howler_monkey'],\n",
              " '380': ['n02493509', 'titi'],\n",
              " '381': ['n02493793', 'spider_monkey'],\n",
              " '382': ['n02494079', 'squirrel_monkey'],\n",
              " '383': ['n02497673', 'Madagascar_cat'],\n",
              " '384': ['n02500267', 'indri'],\n",
              " '385': ['n02504013', 'Indian_elephant'],\n",
              " '386': ['n02504458', 'African_elephant'],\n",
              " '387': ['n02509815', 'lesser_panda'],\n",
              " '388': ['n02510455', 'giant_panda'],\n",
              " '389': ['n02514041', 'barracouta'],\n",
              " '390': ['n02526121', 'eel'],\n",
              " '391': ['n02536864', 'coho'],\n",
              " '392': ['n02606052', 'rock_beauty'],\n",
              " '393': ['n02607072', 'anemone_fish'],\n",
              " '394': ['n02640242', 'sturgeon'],\n",
              " '395': ['n02641379', 'gar'],\n",
              " '396': ['n02643566', 'lionfish'],\n",
              " '397': ['n02655020', 'puffer'],\n",
              " '398': ['n02666196', 'abacus'],\n",
              " '399': ['n02667093', 'abaya'],\n",
              " '400': ['n02669723', 'academic_gown'],\n",
              " '401': ['n02672831', 'accordion'],\n",
              " '402': ['n02676566', 'acoustic_guitar'],\n",
              " '403': ['n02687172', 'aircraft_carrier'],\n",
              " '404': ['n02690373', 'airliner'],\n",
              " '405': ['n02692877', 'airship'],\n",
              " '406': ['n02699494', 'altar'],\n",
              " '407': ['n02701002', 'ambulance'],\n",
              " '408': ['n02704792', 'amphibian'],\n",
              " '409': ['n02708093', 'analog_clock'],\n",
              " '410': ['n02727426', 'apiary'],\n",
              " '411': ['n02730930', 'apron'],\n",
              " '412': ['n02747177', 'ashcan'],\n",
              " '413': ['n02749479', 'assault_rifle'],\n",
              " '414': ['n02769748', 'backpack'],\n",
              " '415': ['n02776631', 'bakery'],\n",
              " '416': ['n02777292', 'balance_beam'],\n",
              " '417': ['n02782093', 'balloon'],\n",
              " '418': ['n02783161', 'ballpoint'],\n",
              " '419': ['n02786058', 'Band_Aid'],\n",
              " '420': ['n02787622', 'banjo'],\n",
              " '421': ['n02788148', 'bannister'],\n",
              " '422': ['n02790996', 'barbell'],\n",
              " '423': ['n02791124', 'barber_chair'],\n",
              " '424': ['n02791270', 'barbershop'],\n",
              " '425': ['n02793495', 'barn'],\n",
              " '426': ['n02794156', 'barometer'],\n",
              " '427': ['n02795169', 'barrel'],\n",
              " '428': ['n02797295', 'barrow'],\n",
              " '429': ['n02799071', 'baseball'],\n",
              " '430': ['n02802426', 'basketball'],\n",
              " '431': ['n02804414', 'bassinet'],\n",
              " '432': ['n02804610', 'bassoon'],\n",
              " '433': ['n02807133', 'bathing_cap'],\n",
              " '434': ['n02808304', 'bath_towel'],\n",
              " '435': ['n02808440', 'bathtub'],\n",
              " '436': ['n02814533', 'beach_wagon'],\n",
              " '437': ['n02814860', 'beacon'],\n",
              " '438': ['n02815834', 'beaker'],\n",
              " '439': ['n02817516', 'bearskin'],\n",
              " '440': ['n02823428', 'beer_bottle'],\n",
              " '441': ['n02823750', 'beer_glass'],\n",
              " '442': ['n02825657', 'bell_cote'],\n",
              " '443': ['n02834397', 'bib'],\n",
              " '444': ['n02835271', 'bicycle-built-for-two'],\n",
              " '445': ['n02837789', 'bikini'],\n",
              " '446': ['n02840245', 'binder'],\n",
              " '447': ['n02841315', 'binoculars'],\n",
              " '448': ['n02843684', 'birdhouse'],\n",
              " '449': ['n02859443', 'boathouse'],\n",
              " '450': ['n02860847', 'bobsled'],\n",
              " '451': ['n02865351', 'bolo_tie'],\n",
              " '452': ['n02869837', 'bonnet'],\n",
              " '453': ['n02870880', 'bookcase'],\n",
              " '454': ['n02871525', 'bookshop'],\n",
              " '455': ['n02877765', 'bottlecap'],\n",
              " '456': ['n02879718', 'bow'],\n",
              " '457': ['n02883205', 'bow_tie'],\n",
              " '458': ['n02892201', 'brass'],\n",
              " '459': ['n02892767', 'brassiere'],\n",
              " '460': ['n02894605', 'breakwater'],\n",
              " '461': ['n02895154', 'breastplate'],\n",
              " '462': ['n02906734', 'broom'],\n",
              " '463': ['n02909870', 'bucket'],\n",
              " '464': ['n02910353', 'buckle'],\n",
              " '465': ['n02916936', 'bulletproof_vest'],\n",
              " '466': ['n02917067', 'bullet_train'],\n",
              " '467': ['n02927161', 'butcher_shop'],\n",
              " '468': ['n02930766', 'cab'],\n",
              " '469': ['n02939185', 'caldron'],\n",
              " '470': ['n02948072', 'candle'],\n",
              " '471': ['n02950826', 'cannon'],\n",
              " '472': ['n02951358', 'canoe'],\n",
              " '473': ['n02951585', 'can_opener'],\n",
              " '474': ['n02963159', 'cardigan'],\n",
              " '475': ['n02965783', 'car_mirror'],\n",
              " '476': ['n02966193', 'carousel'],\n",
              " '477': ['n02966687', \"carpenter's_kit\"],\n",
              " '478': ['n02971356', 'carton'],\n",
              " '479': ['n02974003', 'car_wheel'],\n",
              " '480': ['n02977058', 'cash_machine'],\n",
              " '481': ['n02978881', 'cassette'],\n",
              " '482': ['n02979186', 'cassette_player'],\n",
              " '483': ['n02980441', 'castle'],\n",
              " '484': ['n02981792', 'catamaran'],\n",
              " '485': ['n02988304', 'CD_player'],\n",
              " '486': ['n02992211', 'cello'],\n",
              " '487': ['n02992529', 'cellular_telephone'],\n",
              " '488': ['n02999410', 'chain'],\n",
              " '489': ['n03000134', 'chainlink_fence'],\n",
              " '490': ['n03000247', 'chain_mail'],\n",
              " '491': ['n03000684', 'chain_saw'],\n",
              " '492': ['n03014705', 'chest'],\n",
              " '493': ['n03016953', 'chiffonier'],\n",
              " '494': ['n03017168', 'chime'],\n",
              " '495': ['n03018349', 'china_cabinet'],\n",
              " '496': ['n03026506', 'Christmas_stocking'],\n",
              " '497': ['n03028079', 'church'],\n",
              " '498': ['n03032252', 'cinema'],\n",
              " '499': ['n03041632', 'cleaver'],\n",
              " '500': ['n03042490', 'cliff_dwelling'],\n",
              " '501': ['n03045698', 'cloak'],\n",
              " '502': ['n03047690', 'clog'],\n",
              " '503': ['n03062245', 'cocktail_shaker'],\n",
              " '504': ['n03063599', 'coffee_mug'],\n",
              " '505': ['n03063689', 'coffeepot'],\n",
              " '506': ['n03065424', 'coil'],\n",
              " '507': ['n03075370', 'combination_lock'],\n",
              " '508': ['n03085013', 'computer_keyboard'],\n",
              " '509': ['n03089624', 'confectionery'],\n",
              " '510': ['n03095699', 'container_ship'],\n",
              " '511': ['n03100240', 'convertible'],\n",
              " '512': ['n03109150', 'corkscrew'],\n",
              " '513': ['n03110669', 'cornet'],\n",
              " '514': ['n03124043', 'cowboy_boot'],\n",
              " '515': ['n03124170', 'cowboy_hat'],\n",
              " '516': ['n03125729', 'cradle'],\n",
              " '517': ['n03126707', 'crane'],\n",
              " '518': ['n03127747', 'crash_helmet'],\n",
              " '519': ['n03127925', 'crate'],\n",
              " '520': ['n03131574', 'crib'],\n",
              " '521': ['n03133878', 'Crock_Pot'],\n",
              " '522': ['n03134739', 'croquet_ball'],\n",
              " '523': ['n03141823', 'crutch'],\n",
              " '524': ['n03146219', 'cuirass'],\n",
              " '525': ['n03160309', 'dam'],\n",
              " '526': ['n03179701', 'desk'],\n",
              " '527': ['n03180011', 'desktop_computer'],\n",
              " '528': ['n03187595', 'dial_telephone'],\n",
              " '529': ['n03188531', 'diaper'],\n",
              " '530': ['n03196217', 'digital_clock'],\n",
              " '531': ['n03197337', 'digital_watch'],\n",
              " '532': ['n03201208', 'dining_table'],\n",
              " '533': ['n03207743', 'dishrag'],\n",
              " '534': ['n03207941', 'dishwasher'],\n",
              " '535': ['n03208938', 'disk_brake'],\n",
              " '536': ['n03216828', 'dock'],\n",
              " '537': ['n03218198', 'dogsled'],\n",
              " '538': ['n03220513', 'dome'],\n",
              " '539': ['n03223299', 'doormat'],\n",
              " '540': ['n03240683', 'drilling_platform'],\n",
              " '541': ['n03249569', 'drum'],\n",
              " '542': ['n03250847', 'drumstick'],\n",
              " '543': ['n03255030', 'dumbbell'],\n",
              " '544': ['n03259280', 'Dutch_oven'],\n",
              " '545': ['n03271574', 'electric_fan'],\n",
              " '546': ['n03272010', 'electric_guitar'],\n",
              " '547': ['n03272562', 'electric_locomotive'],\n",
              " '548': ['n03290653', 'entertainment_center'],\n",
              " '549': ['n03291819', 'envelope'],\n",
              " '550': ['n03297495', 'espresso_maker'],\n",
              " '551': ['n03314780', 'face_powder'],\n",
              " '552': ['n03325584', 'feather_boa'],\n",
              " '553': ['n03337140', 'file'],\n",
              " '554': ['n03344393', 'fireboat'],\n",
              " '555': ['n03345487', 'fire_engine'],\n",
              " '556': ['n03347037', 'fire_screen'],\n",
              " '557': ['n03355925', 'flagpole'],\n",
              " '558': ['n03372029', 'flute'],\n",
              " '559': ['n03376595', 'folding_chair'],\n",
              " '560': ['n03379051', 'football_helmet'],\n",
              " '561': ['n03384352', 'forklift'],\n",
              " '562': ['n03388043', 'fountain'],\n",
              " '563': ['n03388183', 'fountain_pen'],\n",
              " '564': ['n03388549', 'four-poster'],\n",
              " '565': ['n03393912', 'freight_car'],\n",
              " '566': ['n03394916', 'French_horn'],\n",
              " '567': ['n03400231', 'frying_pan'],\n",
              " '568': ['n03404251', 'fur_coat'],\n",
              " '569': ['n03417042', 'garbage_truck'],\n",
              " '570': ['n03424325', 'gasmask'],\n",
              " '571': ['n03425413', 'gas_pump'],\n",
              " '572': ['n03443371', 'goblet'],\n",
              " '573': ['n03444034', 'go-kart'],\n",
              " '574': ['n03445777', 'golf_ball'],\n",
              " '575': ['n03445924', 'golfcart'],\n",
              " '576': ['n03447447', 'gondola'],\n",
              " '577': ['n03447721', 'gong'],\n",
              " '578': ['n03450230', 'gown'],\n",
              " '579': ['n03452741', 'grand_piano'],\n",
              " '580': ['n03457902', 'greenhouse'],\n",
              " '581': ['n03459775', 'grille'],\n",
              " '582': ['n03461385', 'grocery_store'],\n",
              " '583': ['n03467068', 'guillotine'],\n",
              " '584': ['n03476684', 'hair_slide'],\n",
              " '585': ['n03476991', 'hair_spray'],\n",
              " '586': ['n03478589', 'half_track'],\n",
              " '587': ['n03481172', 'hammer'],\n",
              " '588': ['n03482405', 'hamper'],\n",
              " '589': ['n03483316', 'hand_blower'],\n",
              " '590': ['n03485407', 'hand-held_computer'],\n",
              " '591': ['n03485794', 'handkerchief'],\n",
              " '592': ['n03492542', 'hard_disc'],\n",
              " '593': ['n03494278', 'harmonica'],\n",
              " '594': ['n03495258', 'harp'],\n",
              " '595': ['n03496892', 'harvester'],\n",
              " '596': ['n03498962', 'hatchet'],\n",
              " '597': ['n03527444', 'holster'],\n",
              " '598': ['n03529860', 'home_theater'],\n",
              " '599': ['n03530642', 'honeycomb'],\n",
              " '600': ['n03532672', 'hook'],\n",
              " '601': ['n03534580', 'hoopskirt'],\n",
              " '602': ['n03535780', 'horizontal_bar'],\n",
              " '603': ['n03538406', 'horse_cart'],\n",
              " '604': ['n03544143', 'hourglass'],\n",
              " '605': ['n03584254', 'iPod'],\n",
              " '606': ['n03584829', 'iron'],\n",
              " '607': ['n03590841', \"jack-o'-lantern\"],\n",
              " '608': ['n03594734', 'jean'],\n",
              " '609': ['n03594945', 'jeep'],\n",
              " '610': ['n03595614', 'jersey'],\n",
              " '611': ['n03598930', 'jigsaw_puzzle'],\n",
              " '612': ['n03599486', 'jinrikisha'],\n",
              " '613': ['n03602883', 'joystick'],\n",
              " '614': ['n03617480', 'kimono'],\n",
              " '615': ['n03623198', 'knee_pad'],\n",
              " '616': ['n03627232', 'knot'],\n",
              " '617': ['n03630383', 'lab_coat'],\n",
              " '618': ['n03633091', 'ladle'],\n",
              " '619': ['n03637318', 'lampshade'],\n",
              " '620': ['n03642806', 'laptop'],\n",
              " '621': ['n03649909', 'lawn_mower'],\n",
              " '622': ['n03657121', 'lens_cap'],\n",
              " '623': ['n03658185', 'letter_opener'],\n",
              " '624': ['n03661043', 'library'],\n",
              " '625': ['n03662601', 'lifeboat'],\n",
              " '626': ['n03666591', 'lighter'],\n",
              " '627': ['n03670208', 'limousine'],\n",
              " '628': ['n03673027', 'liner'],\n",
              " '629': ['n03676483', 'lipstick'],\n",
              " '630': ['n03680355', 'Loafer'],\n",
              " '631': ['n03690938', 'lotion'],\n",
              " '632': ['n03691459', 'loudspeaker'],\n",
              " '633': ['n03692522', 'loupe'],\n",
              " '634': ['n03697007', 'lumbermill'],\n",
              " '635': ['n03706229', 'magnetic_compass'],\n",
              " '636': ['n03709823', 'mailbag'],\n",
              " '637': ['n03710193', 'mailbox'],\n",
              " '638': ['n03710637', 'maillot'],\n",
              " '639': ['n03710721', 'maillot'],\n",
              " '640': ['n03717622', 'manhole_cover'],\n",
              " '641': ['n03720891', 'maraca'],\n",
              " '642': ['n03721384', 'marimba'],\n",
              " '643': ['n03724870', 'mask'],\n",
              " '644': ['n03729826', 'matchstick'],\n",
              " '645': ['n03733131', 'maypole'],\n",
              " '646': ['n03733281', 'maze'],\n",
              " '647': ['n03733805', 'measuring_cup'],\n",
              " '648': ['n03742115', 'medicine_chest'],\n",
              " '649': ['n03743016', 'megalith'],\n",
              " '650': ['n03759954', 'microphone'],\n",
              " '651': ['n03761084', 'microwave'],\n",
              " '652': ['n03763968', 'military_uniform'],\n",
              " '653': ['n03764736', 'milk_can'],\n",
              " '654': ['n03769881', 'minibus'],\n",
              " '655': ['n03770439', 'miniskirt'],\n",
              " '656': ['n03770679', 'minivan'],\n",
              " '657': ['n03773504', 'missile'],\n",
              " '658': ['n03775071', 'mitten'],\n",
              " '659': ['n03775546', 'mixing_bowl'],\n",
              " '660': ['n03776460', 'mobile_home'],\n",
              " '661': ['n03777568', 'Model_T'],\n",
              " '662': ['n03777754', 'modem'],\n",
              " '663': ['n03781244', 'monastery'],\n",
              " '664': ['n03782006', 'monitor'],\n",
              " '665': ['n03785016', 'moped'],\n",
              " '666': ['n03786901', 'mortar'],\n",
              " '667': ['n03787032', 'mortarboard'],\n",
              " '668': ['n03788195', 'mosque'],\n",
              " '669': ['n03788365', 'mosquito_net'],\n",
              " '670': ['n03791053', 'motor_scooter'],\n",
              " '671': ['n03792782', 'mountain_bike'],\n",
              " '672': ['n03792972', 'mountain_tent'],\n",
              " '673': ['n03793489', 'mouse'],\n",
              " '674': ['n03794056', 'mousetrap'],\n",
              " '675': ['n03796401', 'moving_van'],\n",
              " '676': ['n03803284', 'muzzle'],\n",
              " '677': ['n03804744', 'nail'],\n",
              " '678': ['n03814639', 'neck_brace'],\n",
              " '679': ['n03814906', 'necklace'],\n",
              " '680': ['n03825788', 'nipple'],\n",
              " '681': ['n03832673', 'notebook'],\n",
              " '682': ['n03837869', 'obelisk'],\n",
              " '683': ['n03838899', 'oboe'],\n",
              " '684': ['n03840681', 'ocarina'],\n",
              " '685': ['n03841143', 'odometer'],\n",
              " '686': ['n03843555', 'oil_filter'],\n",
              " '687': ['n03854065', 'organ'],\n",
              " '688': ['n03857828', 'oscilloscope'],\n",
              " '689': ['n03866082', 'overskirt'],\n",
              " '690': ['n03868242', 'oxcart'],\n",
              " '691': ['n03868863', 'oxygen_mask'],\n",
              " '692': ['n03871628', 'packet'],\n",
              " '693': ['n03873416', 'paddle'],\n",
              " '694': ['n03874293', 'paddlewheel'],\n",
              " '695': ['n03874599', 'padlock'],\n",
              " '696': ['n03876231', 'paintbrush'],\n",
              " '697': ['n03877472', 'pajama'],\n",
              " '698': ['n03877845', 'palace'],\n",
              " '699': ['n03884397', 'panpipe'],\n",
              " '700': ['n03887697', 'paper_towel'],\n",
              " '701': ['n03888257', 'parachute'],\n",
              " '702': ['n03888605', 'parallel_bars'],\n",
              " '703': ['n03891251', 'park_bench'],\n",
              " '704': ['n03891332', 'parking_meter'],\n",
              " '705': ['n03895866', 'passenger_car'],\n",
              " '706': ['n03899768', 'patio'],\n",
              " '707': ['n03902125', 'pay-phone'],\n",
              " '708': ['n03903868', 'pedestal'],\n",
              " '709': ['n03908618', 'pencil_box'],\n",
              " '710': ['n03908714', 'pencil_sharpener'],\n",
              " '711': ['n03916031', 'perfume'],\n",
              " '712': ['n03920288', 'Petri_dish'],\n",
              " '713': ['n03924679', 'photocopier'],\n",
              " '714': ['n03929660', 'pick'],\n",
              " '715': ['n03929855', 'pickelhaube'],\n",
              " '716': ['n03930313', 'picket_fence'],\n",
              " '717': ['n03930630', 'pickup'],\n",
              " '718': ['n03933933', 'pier'],\n",
              " '719': ['n03935335', 'piggy_bank'],\n",
              " '720': ['n03937543', 'pill_bottle'],\n",
              " '721': ['n03938244', 'pillow'],\n",
              " '722': ['n03942813', 'ping-pong_ball'],\n",
              " '723': ['n03944341', 'pinwheel'],\n",
              " '724': ['n03947888', 'pirate'],\n",
              " '725': ['n03950228', 'pitcher'],\n",
              " '726': ['n03954731', 'plane'],\n",
              " '727': ['n03956157', 'planetarium'],\n",
              " '728': ['n03958227', 'plastic_bag'],\n",
              " '729': ['n03961711', 'plate_rack'],\n",
              " '730': ['n03967562', 'plow'],\n",
              " '731': ['n03970156', 'plunger'],\n",
              " '732': ['n03976467', 'Polaroid_camera'],\n",
              " '733': ['n03976657', 'pole'],\n",
              " '734': ['n03977966', 'police_van'],\n",
              " '735': ['n03980874', 'poncho'],\n",
              " '736': ['n03982430', 'pool_table'],\n",
              " '737': ['n03983396', 'pop_bottle'],\n",
              " '738': ['n03991062', 'pot'],\n",
              " '739': ['n03992509', \"potter's_wheel\"],\n",
              " '740': ['n03995372', 'power_drill'],\n",
              " '741': ['n03998194', 'prayer_rug'],\n",
              " '742': ['n04004767', 'printer'],\n",
              " '743': ['n04005630', 'prison'],\n",
              " '744': ['n04008634', 'projectile'],\n",
              " '745': ['n04009552', 'projector'],\n",
              " '746': ['n04019541', 'puck'],\n",
              " '747': ['n04023962', 'punching_bag'],\n",
              " '748': ['n04026417', 'purse'],\n",
              " '749': ['n04033901', 'quill'],\n",
              " '750': ['n04033995', 'quilt'],\n",
              " '751': ['n04037443', 'racer'],\n",
              " '752': ['n04039381', 'racket'],\n",
              " '753': ['n04040759', 'radiator'],\n",
              " '754': ['n04041544', 'radio'],\n",
              " '755': ['n04044716', 'radio_telescope'],\n",
              " '756': ['n04049303', 'rain_barrel'],\n",
              " '757': ['n04065272', 'recreational_vehicle'],\n",
              " '758': ['n04067472', 'reel'],\n",
              " '759': ['n04069434', 'reflex_camera'],\n",
              " '760': ['n04070727', 'refrigerator'],\n",
              " '761': ['n04074963', 'remote_control'],\n",
              " '762': ['n04081281', 'restaurant'],\n",
              " '763': ['n04086273', 'revolver'],\n",
              " '764': ['n04090263', 'rifle'],\n",
              " '765': ['n04099969', 'rocking_chair'],\n",
              " '766': ['n04111531', 'rotisserie'],\n",
              " '767': ['n04116512', 'rubber_eraser'],\n",
              " '768': ['n04118538', 'rugby_ball'],\n",
              " '769': ['n04118776', 'rule'],\n",
              " '770': ['n04120489', 'running_shoe'],\n",
              " '771': ['n04125021', 'safe'],\n",
              " '772': ['n04127249', 'safety_pin'],\n",
              " '773': ['n04131690', 'saltshaker'],\n",
              " '774': ['n04133789', 'sandal'],\n",
              " '775': ['n04136333', 'sarong'],\n",
              " '776': ['n04141076', 'sax'],\n",
              " '777': ['n04141327', 'scabbard'],\n",
              " '778': ['n04141975', 'scale'],\n",
              " '779': ['n04146614', 'school_bus'],\n",
              " '780': ['n04147183', 'schooner'],\n",
              " '781': ['n04149813', 'scoreboard'],\n",
              " '782': ['n04152593', 'screen'],\n",
              " '783': ['n04153751', 'screw'],\n",
              " '784': ['n04154565', 'screwdriver'],\n",
              " '785': ['n04162706', 'seat_belt'],\n",
              " '786': ['n04179913', 'sewing_machine'],\n",
              " '787': ['n04192698', 'shield'],\n",
              " '788': ['n04200800', 'shoe_shop'],\n",
              " '789': ['n04201297', 'shoji'],\n",
              " '790': ['n04204238', 'shopping_basket'],\n",
              " '791': ['n04204347', 'shopping_cart'],\n",
              " '792': ['n04208210', 'shovel'],\n",
              " '793': ['n04209133', 'shower_cap'],\n",
              " '794': ['n04209239', 'shower_curtain'],\n",
              " '795': ['n04228054', 'ski'],\n",
              " '796': ['n04229816', 'ski_mask'],\n",
              " '797': ['n04235860', 'sleeping_bag'],\n",
              " '798': ['n04238763', 'slide_rule'],\n",
              " '799': ['n04239074', 'sliding_door'],\n",
              " '800': ['n04243546', 'slot'],\n",
              " '801': ['n04251144', 'snorkel'],\n",
              " '802': ['n04252077', 'snowmobile'],\n",
              " '803': ['n04252225', 'snowplow'],\n",
              " '804': ['n04254120', 'soap_dispenser'],\n",
              " '805': ['n04254680', 'soccer_ball'],\n",
              " '806': ['n04254777', 'sock'],\n",
              " '807': ['n04258138', 'solar_dish'],\n",
              " '808': ['n04259630', 'sombrero'],\n",
              " '809': ['n04263257', 'soup_bowl'],\n",
              " '810': ['n04264628', 'space_bar'],\n",
              " '811': ['n04265275', 'space_heater'],\n",
              " '812': ['n04266014', 'space_shuttle'],\n",
              " '813': ['n04270147', 'spatula'],\n",
              " '814': ['n04273569', 'speedboat'],\n",
              " '815': ['n04275548', 'spider_web'],\n",
              " '816': ['n04277352', 'spindle'],\n",
              " '817': ['n04285008', 'sports_car'],\n",
              " '818': ['n04286575', 'spotlight'],\n",
              " '819': ['n04296562', 'stage'],\n",
              " '820': ['n04310018', 'steam_locomotive'],\n",
              " '821': ['n04311004', 'steel_arch_bridge'],\n",
              " '822': ['n04311174', 'steel_drum'],\n",
              " '823': ['n04317175', 'stethoscope'],\n",
              " '824': ['n04325704', 'stole'],\n",
              " '825': ['n04326547', 'stone_wall'],\n",
              " '826': ['n04328186', 'stopwatch'],\n",
              " '827': ['n04330267', 'stove'],\n",
              " '828': ['n04332243', 'strainer'],\n",
              " '829': ['n04335435', 'streetcar'],\n",
              " '830': ['n04336792', 'stretcher'],\n",
              " '831': ['n04344873', 'studio_couch'],\n",
              " '832': ['n04346328', 'stupa'],\n",
              " '833': ['n04347754', 'submarine'],\n",
              " '834': ['n04350905', 'suit'],\n",
              " '835': ['n04355338', 'sundial'],\n",
              " '836': ['n04355933', 'sunglass'],\n",
              " '837': ['n04356056', 'sunglasses'],\n",
              " '838': ['n04357314', 'sunscreen'],\n",
              " '839': ['n04366367', 'suspension_bridge'],\n",
              " '840': ['n04367480', 'swab'],\n",
              " '841': ['n04370456', 'sweatshirt'],\n",
              " '842': ['n04371430', 'swimming_trunks'],\n",
              " '843': ['n04371774', 'swing'],\n",
              " '844': ['n04372370', 'switch'],\n",
              " '845': ['n04376876', 'syringe'],\n",
              " '846': ['n04380533', 'table_lamp'],\n",
              " '847': ['n04389033', 'tank'],\n",
              " '848': ['n04392985', 'tape_player'],\n",
              " '849': ['n04398044', 'teapot'],\n",
              " '850': ['n04399382', 'teddy'],\n",
              " '851': ['n04404412', 'television'],\n",
              " '852': ['n04409515', 'tennis_ball'],\n",
              " '853': ['n04417672', 'thatch'],\n",
              " '854': ['n04418357', 'theater_curtain'],\n",
              " '855': ['n04423845', 'thimble'],\n",
              " '856': ['n04428191', 'thresher'],\n",
              " '857': ['n04429376', 'throne'],\n",
              " '858': ['n04435653', 'tile_roof'],\n",
              " '859': ['n04442312', 'toaster'],\n",
              " '860': ['n04443257', 'tobacco_shop'],\n",
              " '861': ['n04447861', 'toilet_seat'],\n",
              " '862': ['n04456115', 'torch'],\n",
              " '863': ['n04458633', 'totem_pole'],\n",
              " '864': ['n04461696', 'tow_truck'],\n",
              " '865': ['n04462240', 'toyshop'],\n",
              " '866': ['n04465501', 'tractor'],\n",
              " '867': ['n04467665', 'trailer_truck'],\n",
              " '868': ['n04476259', 'tray'],\n",
              " '869': ['n04479046', 'trench_coat'],\n",
              " '870': ['n04482393', 'tricycle'],\n",
              " '871': ['n04483307', 'trimaran'],\n",
              " '872': ['n04485082', 'tripod'],\n",
              " '873': ['n04486054', 'triumphal_arch'],\n",
              " '874': ['n04487081', 'trolleybus'],\n",
              " '875': ['n04487394', 'trombone'],\n",
              " '876': ['n04493381', 'tub'],\n",
              " '877': ['n04501370', 'turnstile'],\n",
              " '878': ['n04505470', 'typewriter_keyboard'],\n",
              " '879': ['n04507155', 'umbrella'],\n",
              " '880': ['n04509417', 'unicycle'],\n",
              " '881': ['n04515003', 'upright'],\n",
              " '882': ['n04517823', 'vacuum'],\n",
              " '883': ['n04522168', 'vase'],\n",
              " '884': ['n04523525', 'vault'],\n",
              " '885': ['n04525038', 'velvet'],\n",
              " '886': ['n04525305', 'vending_machine'],\n",
              " '887': ['n04532106', 'vestment'],\n",
              " '888': ['n04532670', 'viaduct'],\n",
              " '889': ['n04536866', 'violin'],\n",
              " '890': ['n04540053', 'volleyball'],\n",
              " '891': ['n04542943', 'waffle_iron'],\n",
              " '892': ['n04548280', 'wall_clock'],\n",
              " '893': ['n04548362', 'wallet'],\n",
              " '894': ['n04550184', 'wardrobe'],\n",
              " '895': ['n04552348', 'warplane'],\n",
              " '896': ['n04553703', 'washbasin'],\n",
              " '897': ['n04554684', 'washer'],\n",
              " '898': ['n04557648', 'water_bottle'],\n",
              " '899': ['n04560804', 'water_jug'],\n",
              " '900': ['n04562935', 'water_tower'],\n",
              " '901': ['n04579145', 'whiskey_jug'],\n",
              " '902': ['n04579432', 'whistle'],\n",
              " '903': ['n04584207', 'wig'],\n",
              " '904': ['n04589890', 'window_screen'],\n",
              " '905': ['n04590129', 'window_shade'],\n",
              " '906': ['n04591157', 'Windsor_tie'],\n",
              " '907': ['n04591713', 'wine_bottle'],\n",
              " '908': ['n04592741', 'wing'],\n",
              " '909': ['n04596742', 'wok'],\n",
              " '910': ['n04597913', 'wooden_spoon'],\n",
              " '911': ['n04599235', 'wool'],\n",
              " '912': ['n04604644', 'worm_fence'],\n",
              " '913': ['n04606251', 'wreck'],\n",
              " '914': ['n04612504', 'yawl'],\n",
              " '915': ['n04613696', 'yurt'],\n",
              " '916': ['n06359193', 'web_site'],\n",
              " '917': ['n06596364', 'comic_book'],\n",
              " '918': ['n06785654', 'crossword_puzzle'],\n",
              " '919': ['n06794110', 'street_sign'],\n",
              " '920': ['n06874185', 'traffic_light'],\n",
              " '921': ['n07248320', 'book_jacket'],\n",
              " '922': ['n07565083', 'menu'],\n",
              " '923': ['n07579787', 'plate'],\n",
              " '924': ['n07583066', 'guacamole'],\n",
              " '925': ['n07584110', 'consomme'],\n",
              " '926': ['n07590611', 'hot_pot'],\n",
              " '927': ['n07613480', 'trifle'],\n",
              " '928': ['n07614500', 'ice_cream'],\n",
              " '929': ['n07615774', 'ice_lolly'],\n",
              " '930': ['n07684084', 'French_loaf'],\n",
              " '931': ['n07693725', 'bagel'],\n",
              " '932': ['n07695742', 'pretzel'],\n",
              " '933': ['n07697313', 'cheeseburger'],\n",
              " '934': ['n07697537', 'hotdog'],\n",
              " '935': ['n07711569', 'mashed_potato'],\n",
              " '936': ['n07714571', 'head_cabbage'],\n",
              " '937': ['n07714990', 'broccoli'],\n",
              " '938': ['n07715103', 'cauliflower'],\n",
              " '939': ['n07716358', 'zucchini'],\n",
              " '940': ['n07716906', 'spaghetti_squash'],\n",
              " '941': ['n07717410', 'acorn_squash'],\n",
              " '942': ['n07717556', 'butternut_squash'],\n",
              " '943': ['n07718472', 'cucumber'],\n",
              " '944': ['n07718747', 'artichoke'],\n",
              " '945': ['n07720875', 'bell_pepper'],\n",
              " '946': ['n07730033', 'cardoon'],\n",
              " '947': ['n07734744', 'mushroom'],\n",
              " '948': ['n07742313', 'Granny_Smith'],\n",
              " '949': ['n07745940', 'strawberry'],\n",
              " '950': ['n07747607', 'orange'],\n",
              " '951': ['n07749582', 'lemon'],\n",
              " '952': ['n07753113', 'fig'],\n",
              " '953': ['n07753275', 'pineapple'],\n",
              " '954': ['n07753592', 'banana'],\n",
              " '955': ['n07754684', 'jackfruit'],\n",
              " '956': ['n07760859', 'custard_apple'],\n",
              " '957': ['n07768694', 'pomegranate'],\n",
              " '958': ['n07802026', 'hay'],\n",
              " '959': ['n07831146', 'carbonara'],\n",
              " '960': ['n07836838', 'chocolate_sauce'],\n",
              " '961': ['n07860988', 'dough'],\n",
              " '962': ['n07871810', 'meat_loaf'],\n",
              " '963': ['n07873807', 'pizza'],\n",
              " '964': ['n07875152', 'potpie'],\n",
              " '965': ['n07880968', 'burrito'],\n",
              " '966': ['n07892512', 'red_wine'],\n",
              " '967': ['n07920052', 'espresso'],\n",
              " '968': ['n07930864', 'cup'],\n",
              " '969': ['n07932039', 'eggnog'],\n",
              " '970': ['n09193705', 'alp'],\n",
              " '971': ['n09229709', 'bubble'],\n",
              " '972': ['n09246464', 'cliff'],\n",
              " '973': ['n09256479', 'coral_reef'],\n",
              " '974': ['n09288635', 'geyser'],\n",
              " '975': ['n09332890', 'lakeside'],\n",
              " '976': ['n09399592', 'promontory'],\n",
              " '977': ['n09421951', 'sandbar'],\n",
              " '978': ['n09428293', 'seashore'],\n",
              " '979': ['n09468604', 'valley'],\n",
              " '980': ['n09472597', 'volcano'],\n",
              " '981': ['n09835506', 'ballplayer'],\n",
              " '982': ['n10148035', 'groom'],\n",
              " '983': ['n10565667', 'scuba_diver'],\n",
              " '984': ['n11879895', 'rapeseed'],\n",
              " '985': ['n11939491', 'daisy'],\n",
              " '986': ['n12057211', \"yellow_lady's_slipper\"],\n",
              " '987': ['n12144580', 'corn'],\n",
              " '988': ['n12267677', 'acorn'],\n",
              " '989': ['n12620546', 'hip'],\n",
              " '990': ['n12768682', 'buckeye'],\n",
              " '991': ['n12985857', 'coral_fungus'],\n",
              " '992': ['n12998815', 'agaric'],\n",
              " '993': ['n13037406', 'gyromitra'],\n",
              " '994': ['n13040303', 'stinkhorn'],\n",
              " '995': ['n13044778', 'earthstar'],\n",
              " '996': ['n13052670', 'hen-of-the-woods'],\n",
              " '997': ['n13054560', 'bolete'],\n",
              " '998': ['n13133613', 'ear'],\n",
              " '999': ['n15075141', 'toilet_tissue']}"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6fGbk8QpNH2c"
      },
      "source": [
        "# 出力結果からラベルを予測する後処理クラス\n",
        "class ILSVRCPredictor():\n",
        "    \"\"\"\n",
        "    ILSVRCデータに対するモデルの出力からラベルを求める。\n",
        "\n",
        "    Attributes\n",
        "    ----------\n",
        "    class_index : dictionary\n",
        "            クラスindexとラベル名を対応させた辞書型変数。\n",
        "    \"\"\"\n",
        "\n",
        "    def __init__(self, class_index):\n",
        "        self.class_index = class_index\n",
        "\n",
        "    def predict_max(self, out):\n",
        "        \"\"\"\n",
        "        確率最大のILSVRCのラベル名を取得する。\n",
        "\n",
        "        Parameters\n",
        "        ----------\n",
        "        out : torch.Size([1, 1000])\n",
        "            Netからの出力。\n",
        "\n",
        "        Returns\n",
        "        -------\n",
        "        predicted_label_name : str\n",
        "            最も予測確率が高いラベルの名前\n",
        "        \"\"\"\n",
        "        maxid = np.argmax(out.detach().numpy())\n",
        "        predicted_label_name = self.class_index[str(maxid)][1]\n",
        "\n",
        "        return predicted_label_name\n"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eMbCCgJvNH2d"
      },
      "source": [
        "# 学習済みVGGモデルで手元の画像を予測"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_EhD_ZQYNH2d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dc4ab0ea-fde3-4878-a5df-98e3c52b636f"
      },
      "source": [
        "# ILSVRCのラベル情報をロードし辞意書型変数を生成します\n",
        "ILSVRC_class_index = json.load(open('./data/imagenet_class_index.json', 'r'))\n",
        "\n",
        "# ILSVRCPredictorのインスタンスを生成します\n",
        "predictor = ILSVRCPredictor(ILSVRC_class_index)\n",
        "\n",
        "# 入力画像を読み込む\n",
        "image_file_path = './data/goldenretriever-3724972_640.jpg'\n",
        "img = Image.open(image_file_path)  # [高さ][幅][色RGB]\n",
        "\n",
        "# 前処理の後、バッチサイズの次元を追加する\n",
        "transform = BaseTransform(resize, mean, std)  # 前処理クラス作成\n",
        "img_transformed = transform(img)  # torch.Size([3, 224, 224])\n",
        "inputs = img_transformed.unsqueeze_(0)  # torch.Size([1, 3, 224, 224])\n",
        "\n",
        "# モデルに入力し、モデル出力をラベルに変換する\n",
        "out = net(inputs)  # torch.Size([1, 1000])\n",
        "result = predictor.predict_max(out)\n",
        "\n",
        "# 予測結果を出力する\n",
        "print(\"入力画像の予測結果：\", result)\n"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "入力画像の予測結果： golden_retriever\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Cs8IdOrNH2d"
      },
      "source": [
        "以上"
      ]
    }
  ]
}